结构方程建模
心理学
人气
社会化媒体
验证性因素分析
独创性
实证研究
样品(材料)
互联网
路径分析(统计学)
社会心理学
国际商用机器公司
应用心理学
计算机科学
万维网
统计
数学
创造力
纳米技术
化学
材料科学
色谱法
作者
Sonica Rautela,Sarika Sharma
出处
期刊:Journal of Information, Communication and Ethics in Society
[Emerald (MCB UP)]
日期:2022-02-11
卷期号:20 (4): 461-479
被引量:19
标识
DOI:10.1108/jices-06-2021-0057
摘要
Purpose With the rapid improvement in digital infrastructure, the popularity of digital devices and smartphones in every pocket, the yearning to stay connected with others has increased manifold, especially in youngsters. This has raised multiple concerns primarily related to the problematic usage of the internet (PUI). The current research study aims to scrutinize the association between PUI, psychological and mental health (PMH), social media fatigue (SMF), fear of missing out (FOMO), desire to disconnect (DD) and its relation with a novel phenomenon of joy of missing out (JOMO). Design/methodology/approach The present research study embraces the empirical research method through quantitative analysis. The proposed theoretical model was empirically tested using primary data, collected through a self-designed structured questionnaire. The study sample included individuals between 16 and 39 years of age as these are the most active demographics on social media. The model is empirically tested with the help of structural equation modeling applied using software IBM AMOS 20.0 and SPSS 22.0. Initially, first-order confirmatory factor analysis was conducted, to measure and test the fit indices of the proposed model. Secondly, path analysis using structural equation modeling was carried out for the model. Findings Empirical synthesis of this research shows that PUI significantly and positively impacts mental and psychological health, FOMO and SMF. Also, SMF significantly and positively affects the DD which significantly and positively affects the JOMO. However, as depicted by the results of this study, FOMO have no considerable impact on SMF. Originality/value A study that connects the PUI with PMH, SMF and FOMO is rare to find. Second, this study uses data collected from social media users of India in the age group of 16–39 years. This slice of the population is most active in internet, and internet-enabled platform and are scantly studied, especially in the Indian context. This makes the study more exciting and crucial.
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